The spatial distribution characteristics and ground-level estimation of NO2 and SO2 over Huaihe River Basin and Shanghai based on satellite observations

Deying Zhang; Yunyun Zhou; Lan Zheng; Runhe Shi; Maosi Chen

doi:10.1117/12.2318933

18 September 2018 The spatial distribution characteristics and ground-level estimation of NO₂ and SO₂ over Huaihe River Basin and Shanghai based on satellite observations

Deying Zhang, Yunyun Zhou, Lan Zheng, Runhe Shi, Maosi Chen

Author Affiliations +

Proceedings Volume 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV; 107670L (2018) https://doi.org/10.1117/12.2318933
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

People in Huaihe River Basin and Shanghai have been suffering from severe air pollution of nitrogen dioxide and sulfur dioxide due to the development of heavy industry. Traditional ambient monitoring station measurements can provide real-time accurate data, but it is limited due to the less number of monitoring sites. Satellite observation data from remote sensing can provide a wide range opollutants concentrations in long-time sequence. Top-down approaches based on satellite data can be effectively applied to estimate the ground concentrations of pollutants. In this paper, the tropospheric pollutants columns from the Ozone Monitoring Instrument(OMI) were used to analyse the seasonal variation of NO₂ and SO₂ in 2015. Moreover, the ground-level NO₂ and SO₂ concentrations of the Huaihe River Basin and Shanghai at this time were estimated by the data and meteorological data. The results show that: the concentrations of NO₂ and SO₂ are highest in winter, and high-value areas are mainly located in Shandong and Northern Henan. Estimating the ground-level NO₂ and SO₂ concentrations based on satellite observations is reliable with the validation R² 0.48 and 0.47 respectively. Finally, The spatial distribution of satellite-derived annual mean NO₂ and SO₂ has a similar characteristics to the satellite columns.

Citation Download Citation

Deying Zhang, Yunyun Zhou, Lan Zheng, Runhe Shi, and Maosi Chen "The spatial distribution characteristics and ground-level estimation of NO₂ and SO₂ over Huaihe River Basin and Shanghai based on satellite observations", Proc. SPIE 10767, Remote Sensing and Modeling of Ecosystems for Sustainability XV, 107670L (18 September 2018); https://doi.org/10.1117/12.2318933

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